Driver Drowsiness Detection Using Smartphone Mali, Suraj; Bangale, Kiran; Walekar, Rohan ...
International journal for research in applied science and engineering technology,
7/2022, Letnik:
10, Številka:
7
Journal Article
Odprti dostop
Transition state between being awake and asleep is called drowsiness. Driver drowsiness is the major cause of traffic crashes and financial losses. This abstract presents a mobile technology using ...smartphones to visual indicators of driver drowsiness, allowing the possibility of making drowsiness detection systems more affordable and portable. This technology uses the front camera of a smartphone to capture images of drivers, and then uses smartphone vision algorithms to detect and track the face and eye of the drivers. Eye blinks are then detected as indicators of driver drowsiness. A simulated driving study showed that drowsy drivers differed significantly in the frequency of and eye blinks, compared to when they were attentive. The smartphone-based Driver-Drowsiness detection technology may have important applications in reducing drowsiness-related improving driving safety. This abstract describes the steps involved in designing and implementing a driver drowsiness detection system based on smartphone. It combines off the-shelf smartphone components for eye state (open vs. closed) classification. Preliminary results show that the system is reliable and tolerant to many real-world constraints. Driver drowsiness is a highly problematic issue which impairs judgment and decision making among drivers resulting in fatal motor crashes. This describes a simple drowsiness detection approach for a smartphone with Android / IOS application using Android Studio 4.4.2. & Mobile Vision API for drowsiness detection before and while driving. Quick facial analysis were performed to check drowsiness before the driver starts driving. Facial analysis was undertaken by eye blinking duration. Blinking duration is used to indicator for drowsiness. A performance accuracy of drossiness detection proved to be around 90%.
The Breakthrough Listen Initiative is conducting a program using multiple telescopes around the world to search for "technosignatures": artificial transmitters of extraterrestrial origin from beyond ...our solar system. The VERITAS Collaboration joined this program in 2018, and provides the capability to search for one particular technosignature: optical pulses of a few nanoseconds duration detectable over interstellar distances. We report here on the analysis and results of dedicated VERITAS observations of Breakthrough Listen targets conducted in 2019 and 2020 and of archival VERITAS data collected since 2012. Thirty hours of dedicated observations of 136 targets and 249 archival observations of 140 targets were analyzed and did not reveal any signals consistent with a technosignature. The results are used to place limits on the fraction of stars hosting transmitting civilizations. We also discuss the minimum-pulse sensitivity of our observations and present VERITAS observations of CALIOP: a space-based pulsed laser onboard the CALIPSO satellite. The detection of these pulses with VERITAS, using the analysis techniques developed for our technosignature search, allows a test of our analysis efficiency and serves as an important proof-of-principle.
We report the detection of very high energy gamma-ray emission from the blazar S3 1227+25 (VER J1230+253) with the Very Energetic Radiation Imaging Telescope Array System (VERITAS). VERITAS ...observations of the source were triggered by the detection of a hard-spectrum GeV flare on May 15, 2015 with the Fermi-Large Area Telescope (LAT). A combined five-hour VERITAS exposure on May 16th and May 18th resulted in a strong 13\(\sigma\) detection with a differential photon spectral index, \(\Gamma\) = 3.8 \(\pm\) 0.4, and a flux level at 9% of the Crab Nebula above 120 GeV. This also triggered target of opportunity observations with Swift, optical photometry, polarimetry and radio measurements, also presented in this work, in addition to the VERITAS and Fermi-LAT data. A temporal analysis of the gamma-ray flux during this period finds evidence of a shortest variability timescale of \(\tau_{obs}\) = 6.2 \(\pm\) 0.9 hours, indicating emission from compact regions within the jet, and the combined gamma-ray spectrum shows no strong evidence of a spectral cut-off. An investigation into correlations between the multiwavelength observations found evidence of optical and gamma-ray correlations, suggesting a single-zone model of emission. Finally, the multiwavelength spectral energy distribution is well described by a simple one-zone leptonic synchrotron self-Compton radiation model.
